获取堆栈中上一级函数的 __file__

2023-09-27Python开发问题
1

本文介绍了获取堆栈中上一级函数的 __file__的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

我发现我经常使用这种模式:

I've found that I'm using this pattern a lot :

os.path.join(os.path.dirname(__file__), file_path)

所以我决定在一个包含许多这样的小实用程序的文件中放入一个函数:

so I've decided to put in a function in a file that has many such small utilities:

def filepath_in_cwd(file_path): 
    return os.path.join(os.path.dirname(__file__), file_path)

问题是,__file__ 返回 current 文件,因此返回当前文件夹,我错过了重点.我可以做这个丑陋的 hack(或者继续按原样编写模式):

The thing is, __file__ returns the current file and therefore the current folder, and I've missed the whole point. I could do this ugly hack (or just keep writing the pattern as is):

def filepath_in_cwd(py_file_name, file_path): 
    return os.path.join(os.path.dirname(py_file_name), file_path)

然后对它的调用将如下所示:

and then the call to it will look like this:

filepath_in_cwd(__file__, "my_file.txt")

但如果我有办法获取堆栈中上一层的函数的 __file__ ,我会更喜欢它.有没有办法做到这一点?

but I'd prefer it if I had a way of getting the __file__ of the function that's one level up in the stack. Is there any way of doing this?

推荐答案

应该这样做:

inspect.getfile(sys._getframe(1))

sys._getframe(1) 获取调用者框架,inspect.getfile(...) 检索文件名.

sys._getframe(1) gets the caller frame, inspect.getfile(...) retrieves the filename.

这篇关于获取堆栈中上一级函数的 __file__的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

pandas 有从特定日期开始的按月分组的方式吗?
Is there a way of group by month in Pandas starting at specific day number?( pandas 有从特定日期开始的按月分组的方式吗?)...
2024-08-22 Python开发问题
10

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10